Programming expert systems in OPS5: an introduction to rule-based programming
Programming expert systems in OPS5: an introduction to rule-based programming
Supercompilers for parallel and vector computers
Supercompilers for parallel and vector computers
Vector models for data-parallel computing
Vector models for data-parallel computing
The Muse Or-parallel Prolog model and its performance
Proceedings of the 1990 North American conference on Logic programming
Distributed last call optimization for portable parallel logic programming
ACM Letters on Programming Languages and Systems (LOPLAS)
MultiLog: data Or-parallel logic programming
ICLP'93 Proceedings of the tenth international conference on logic programming on Logic programming
ACE: and/or-parallel copying-based execution of logic programs
Proceedings of the eleventh international conference on Logic programming
&ACE: a high-performance parallel Prolog system
IPPS '95 Proceedings of the 9th International Symposium on Parallel Processing
Backtracking in Independent And-Parallel Implementations of Logic Programming Languages
IEEE Transactions on Parallel and Distributed Systems
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We present a novel optimization called Last Parallel Call Optimization (LPCO) for parallel systems. The last parallel call optimization can be regarded as a parallel extension of last call optimization found in sequential systems. While the LPCO is fairly general, we use and-parallel logic programming systems to illustrate it and to report its performance on multiprocessor systems.The last parallel call optimization leads to improved time and space performance for a majority of and-parallel programs. We also present a generalization of the Last Parallel Call Optimization called Nested Parallel Call Optimization (NPCO). A major advantage of LPCO and NPCO is that parallel systems designed for exploiting control parallelism can automatically exploit data parallelism efficiently.